Event Clustering

 

Identification of Single Events

The detection and clustering of single events are basic requirements for the identification and quantification of risks and threats. The identification of events can provide answers to a number of questions regarding a specific incident or development: 

  • Who are the perpetrators and how many victims are there?
  • What is the relationship between the relevant actors?
  • How did the perpetrators communicate with each other and organise themselves?
  • How many incidents or criminal acts happened? Where and when did they occur? By whom were they committed? What has been their pattern, and how has this pattern evolved?
  • What sources of registered evidence can provide answers?

Our platform is able to extract and identify a single incident out of a multitude of reports from different sources. To give an example, a major bomb attack on a hotel in Mumbai would be widely noticed and discussed intensively in local, national and international media. Our semantic tool not only counts and lists a large number of newspaper accounts and other reports on the attack, it is also able to attribute the large volume of information to one specific incident, merging different sources and integrating and calculating the specific event as part of the analysis process.

Separating Knowledge und Incidents

By identifying and extracting single events and incidents, the platform conducts an analysis rooted in a sound factual basis. At the same time, the platform generates an immense knowledge base that covers a huge spectrum of global strategic developments and issues that are all crucial for a successful sentiment and opinion analysis.

shortcut.one event clustering example